Multiphysics Modeling and Numerical Simulation in Computer-Aided Manufacturing Processes
The concept of Industry 4.0 is defined as a common term for technology and the concept of new digital tools to optimize the manufacturing process. Within this framework of modular smart factories, cyber-physical systems monitor physical processes creating a virtual copy of the physical world and mak...
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doaj-2871e3c91a5e459096c581cd5da83cc22021-01-20T00:03:27ZengMDPI AGMetals2075-47012021-01-011117517510.3390/met11010175Multiphysics Modeling and Numerical Simulation in Computer-Aided Manufacturing ProcessesTomasz Trzepieciński0Francesco dell’Isola1Hirpa G. Lemu2Department of Materials Forming and Processing, Rzeszow University of Technology, al. Powst. Warszawy 8, 35-959 Rzeszów, PolandInternational Research Center on Mathematics and Mechanics of Complex Systems, University of L’Aquila, Via Giovanni Gronchi 18, 67100 L’Aquila, ItalyFaculty of Science and Technology, University of Stavanger, N-4036 Stavanger, NorwayThe concept of Industry 4.0 is defined as a common term for technology and the concept of new digital tools to optimize the manufacturing process. Within this framework of modular smart factories, cyber-physical systems monitor physical processes creating a virtual copy of the physical world and making decentralized decisions. This article presents a review of the literature on virtual methods of computer-aided manufacturing processes. Numerical modeling is used to predict stress and temperature distribution, springback, material flow, and prediction of phase transformations, as well as for determining forming forces and the locations of potential wrinkling and cracking. The scope of the review has been limited to the last ten years, with an emphasis on the current state of knowledge. Intelligent production driven by the concept of Industry 4.0 and the demand for high-quality equipment in the aerospace and automotive industries forces the development of manufacturing techniques to progress towards intelligent manufacturing and ecological production. Multi-scale approaches that tend to move from macro- to micro- parameters become very important in numerical optimization programs. The software requirements for optimizing a fully coupled thermo-mechanical microstructure then increase rapidly. The highly advanced simulation programs based on our knowledge of physical and mechanical phenomena occurring in non-homogeneous materials allow a significant acceleration of the introduction of new products and the optimization of existing processes.https://www.mdpi.com/2075-4701/11/1/175arbitrary Lagrangian-Eulerian methodBEMdiscrete element methodFEMhomogenizationIndustry 4.0 |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Tomasz Trzepieciński Francesco dell’Isola Hirpa G. Lemu |
spellingShingle |
Tomasz Trzepieciński Francesco dell’Isola Hirpa G. Lemu Multiphysics Modeling and Numerical Simulation in Computer-Aided Manufacturing Processes Metals arbitrary Lagrangian-Eulerian method BEM discrete element method FEM homogenization Industry 4.0 |
author_facet |
Tomasz Trzepieciński Francesco dell’Isola Hirpa G. Lemu |
author_sort |
Tomasz Trzepieciński |
title |
Multiphysics Modeling and Numerical Simulation in Computer-Aided Manufacturing Processes |
title_short |
Multiphysics Modeling and Numerical Simulation in Computer-Aided Manufacturing Processes |
title_full |
Multiphysics Modeling and Numerical Simulation in Computer-Aided Manufacturing Processes |
title_fullStr |
Multiphysics Modeling and Numerical Simulation in Computer-Aided Manufacturing Processes |
title_full_unstemmed |
Multiphysics Modeling and Numerical Simulation in Computer-Aided Manufacturing Processes |
title_sort |
multiphysics modeling and numerical simulation in computer-aided manufacturing processes |
publisher |
MDPI AG |
series |
Metals |
issn |
2075-4701 |
publishDate |
2021-01-01 |
description |
The concept of Industry 4.0 is defined as a common term for technology and the concept of new digital tools to optimize the manufacturing process. Within this framework of modular smart factories, cyber-physical systems monitor physical processes creating a virtual copy of the physical world and making decentralized decisions. This article presents a review of the literature on virtual methods of computer-aided manufacturing processes. Numerical modeling is used to predict stress and temperature distribution, springback, material flow, and prediction of phase transformations, as well as for determining forming forces and the locations of potential wrinkling and cracking. The scope of the review has been limited to the last ten years, with an emphasis on the current state of knowledge. Intelligent production driven by the concept of Industry 4.0 and the demand for high-quality equipment in the aerospace and automotive industries forces the development of manufacturing techniques to progress towards intelligent manufacturing and ecological production. Multi-scale approaches that tend to move from macro- to micro- parameters become very important in numerical optimization programs. The software requirements for optimizing a fully coupled thermo-mechanical microstructure then increase rapidly. The highly advanced simulation programs based on our knowledge of physical and mechanical phenomena occurring in non-homogeneous materials allow a significant acceleration of the introduction of new products and the optimization of existing processes. |
topic |
arbitrary Lagrangian-Eulerian method BEM discrete element method FEM homogenization Industry 4.0 |
url |
https://www.mdpi.com/2075-4701/11/1/175 |
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